Mac15,12
Geekbench AI Score
4139
Single Precision Score
31275
Half Precision Score
34941
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | IMaT_UoA |
| Upload Date | July 16 2025 10:31 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | Mac15,12 |
| Model ID | Mac15,12 |
| Motherboard | Mac15,12 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1587
295.1 IPS |
|
|
Image Classification (HP)
|
100% |
17683
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
20257
3.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1915
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21766
352.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
26860
435.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8981
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
121202
141.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
121007
141.8 IPS |
|
|
Object Detection (SP)
|
100% |
1825
144.8 IPS |
|
|
Object Detection (HP)
|
100% |
18929
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
20980
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
3549
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
37101
440.8 IPS |
|
|
Face Detection (Q)
|
100% |
47362
562.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7176
55.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
98887
761.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
124663
974.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22472
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
230275
296.0 IPS |
|
|
Style Transfer (Q)
|
96% |
220294
284.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5281
195.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48315
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58113
2.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3000
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5402
7.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5412
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3273
56.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4599
79.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4801
83.0 IPS |
